import inspect import os import numpy as np import pandas as pd import pytest from gradio_client import utils as client_utils from gradio_pdf import PDF import gradio as gr from gradio import processing_utils from gradio.components.base import Component from gradio.data_classes import GradioModel, GradioRootModel os.environ["GRADIO_ANALYTICS_ENABLED"] = "False" class TestGettingComponents: def test_component_function(self): assert isinstance( gr.components.component("textarea", render=False), gr.templates.TextArea ) @pytest.mark.parametrize( "component, render, unrender, should_be_rendered", [ (gr.Textbox(render=True), False, True, False), (gr.Textbox(render=False), False, False, False), (gr.Textbox(render=False), True, False, True), ("textbox", False, False, False), ("textbox", True, False, True), ], ) def test_get_component_instance_rendering( self, component, render, unrender, should_be_rendered ): with gr.Blocks(): textbox = gr.components.get_component_instance( component, render=render, unrender=unrender ) assert textbox.is_rendered == should_be_rendered class TestNames: # This test ensures that `components.get_component_instance()` works correctly when instantiating from components def test_no_duplicate_uncased_names(self, io_components): unique_subclasses_uncased = {s.__name__.lower() for s in io_components} assert len(io_components) == len(unique_subclasses_uncased) def test_dataframe_process_example_converts_dataframes(): df_comp = gr.Dataframe() assert df_comp.process_example( pd.DataFrame({"a": [1, 2, 3, 4], "b": [5, 6, 7, 8]}) ) == [ [1, 5], [2, 6], [3, 7], [4, 8], ] assert df_comp.process_example(np.array([[1, 2], [3, 4.0]])) == [ [1.0, 2.0], [3.0, 4.0], ] @pytest.mark.parametrize("component", [gr.Model3D, gr.File, gr.Audio]) def test_process_example_returns_file_basename(component): component = component() assert ( component.process_example("/home/freddy/sources/example.ext") == "example.ext" ) assert component.process_example(None) == "" def test_component_class_ids(): button_id = gr.Button().component_class_id textbox_id = gr.Textbox().component_class_id json_id = gr.JSON().component_class_id mic_id = gr.Mic().component_class_id microphone_id = gr.Microphone().component_class_id audio_id = gr.Audio().component_class_id assert button_id == gr.Button().component_class_id assert textbox_id == gr.Textbox().component_class_id assert json_id == gr.JSON().component_class_id assert mic_id == gr.Mic().component_class_id assert microphone_id == gr.Microphone().component_class_id assert audio_id == gr.Audio().component_class_id assert mic_id == microphone_id # Make sure that the ids are unique assert len({button_id, textbox_id, json_id, microphone_id, audio_id}) == 5 def test_constructor_args(): assert gr.Textbox(max_lines=314).constructor_args == {"max_lines": 314} assert gr.LoginButton(visible=False, value="Log in please").constructor_args == { "visible": False, "value": "Log in please", } def test_template_component_configs(io_components): template_components = [c for c in io_components if getattr(c, "is_template", False)] for component in template_components: component_parent_class = inspect.getmro(component)[1] template_config = component().get_config() parent_config = component_parent_class().get_config() assert set(parent_config.keys()).issubset(set(template_config.keys())) def test_component_example_values(io_components): for component in io_components: if component == PDF: continue elif component in [gr.BarPlot, gr.LinePlot, gr.ScatterPlot]: c: Component = component(x="x", y="y") else: c: Component = component() c.postprocess(c.example_value()) def test_component_example_payloads(io_components): for component in io_components: if component == PDF: continue elif component in [gr.BarPlot, gr.LinePlot, gr.ScatterPlot]: c: Component = component(x="x", y="y") else: c: Component = component() data = c.example_payload() data = client_utils.synchronize_async( processing_utils.async_move_files_to_cache, data, c, check_in_upload_folder=False, ) if getattr(c, "data_model", None) and data is not None: if issubclass(c.data_model, GradioModel): # type: ignore data = c.data_model(**data) # type: ignore elif issubclass(c.data_model, GradioRootModel): # type: ignore data = c.data_model(root=data) # type: ignore c.preprocess(data)